A method and system for completing user operations of parallel APP software

By capturing the user operation data of parallel APP software in real time, extracting features, establishing context semantic relationships, and using neural network models to extract timing contexts, the problem of user operation completion of parallel APP software in the prior art is solved, and efficient and accurate user operation analysis is achieved.

CN115437635BActive Publication Date: 2025-03-25KUNMING UNIV OF SCI & TECH
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Patent Information

Application Number
CN202211270295.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-18
Publication Date
2025-03-25
Estimated Expiration
2042-10-18

AI Technical Summary

Technical Problem

The prior art is difficult to effectively obtain parallel APP software user operations, especially when multiple APPs are run in parallel or switch frequently, resulting in data loss and errors, and it is difficult to capture specific details of user operations.

Method used

By capturing the user operation event content data and response data of parallel APP software in real time, extracting user operation content features, establishing context semantic relationships, extracting timing contexts, and using neural network models to complete the user operation sequence.

Benefits of technology

It realizes efficient and accurate completion of user operations of parallel APP software, supports user operation analysis in the case of parallel operation of multiple APP software, and improves data integrity and analysis accuracy.

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Abstract

The present invention discloses a method and system for completing user operations of parallel APP software, including: Step 1, real-time capture of content data of user operation events of parallel APP software and response data of parallel APP software; Step 2, extraction of content features of user operations of parallel APP software; Step 3, establishment of contextual semantic relationships of content features of user operations of parallel APP software; Step 4, extraction of temporal context of user operation sequences of parallel APP software; Step 5, completion of user operations of parallel APP software. The present invention helps to mine semantic context and temporal context features from user operation sequences of large-scale parallel APP software, supports completion of user operations under the condition of parallel operation of multiple APP software, thereby efficiently and accurately obtaining complete user operation sequences of parallel APP software.
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